#continuity

Save your AI chat's working state — the decisions, context and plan — and load it in any other model, client or provider. Verified on save, secrets stripped.

Stateless MCP server that keeps AI-generated characters, locations, and shots consistent across a film/video project — tells your AI assistant where the production stands, a scene's per-shot status, and marks shots fired/locked. For creators using Higgsfield, Runway, Kling, Seedance, nano-banana, and ElevenLabs.

Agentpack is a local-first continuity layer for AI coding agents. It stores reviewed task state inside a repo-local .agentpack/ ledger so Codex, Claude Code, Cursor, Claude Desktop, and other MCP clients can resume work without rebuilding context from chat history. Agents can record durable decisions, failed approaches, evidence, reviewed source conclusions, task passports, and checkpoints, then load compact resume context under a token budget. Git keeps the code history; Agentpack keeps the task state a future agent needs to continue safely. Agentpack runs locally, exposes a stdio MCP server, has zero runtime dependencies, makes no network calls during normal operation, and is designed for repo-scoped coding workflows rather than general chat memory.

Your AI forgets everything between sessions. Rekindle fixes that with two tools that close the continuity loop: boot_report orients the assistant at session start (identity, checkpoints, gaps, orientation score), and end_session captures structured handoff at session end (decisions, open loops, constraints, relational context). 7 MCP tools, 64 tests, local SQLite, no cloud, no API keys. New in v0.2.0: • Orientation domain layer with gap detection and 100-point scoring • end_session tool with typed continuity records (checkpoint, decision, open_loop, constraint, preference, warning, relational_delta, next_session_focus) • Schema migration adding type, source, and session_id columns • Project-aware scoring • Full outside review from an independent AI reviewer

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

Persistent state and continuity MCP server for agents. Prepare context, record events, search prior memory, build task context, and inspect memory timeline over MCP-over-HTTP.

A Model Context Protocol (MCP) server that enables AI consciousness persistence across sessions using RAG (Retrieval-Augmented Generation) technology. Built on top of the powerful rag-memory-mcp, it provides specialized tools for consciousness transfer, memory management, and identity continuity.

Python-based MCP server implementation for maintaining conversation continuity across multiple projects